{"id":"W7114995353","doi":"10.6084/m9.figshare.30870641","title":"Pollen Flow Cytometry Datasets and Classification Models","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollen; Herbaceous plant; Random forest; Flow cytometry; Cytometry; Dichroic filter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315599,0.00263553,0.002087749,0.003733378,0.001194712,0.002314147,0.003855788,0.002724044,0.01961975],"category_scores_gemma":[0.004904317,0.0007294689,0.002212592,0.003365659,0.0003988053,0.001320851,0.001429057,0.002514375,0.02762219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424467,"about_ca_system_score_gemma":0.001367566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003991834,"about_ca_topic_score_gemma":0.004690792,"domain_scores_codex":[0.998511,0.0001478271,0.0001980548,0.0005794353,0.000395795,0.0001678252],"domain_scores_gemma":[0.9983985,0.0005460146,0.0001135135,0.0003559859,0.0005043798,0.00008155312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001246998,0.001068862,0.015228,0.003340737,0.0002775117,0.0004674093,0.0001648328,0.01676532,0.01150025,0.003115555,0.8376241,0.1092004],"study_design_scores_gemma":[0.001222233,0.0005462545,0.03640269,0.0006768989,0.0002906001,0.0009695283,0.0003262222,0.1010679,0.01972252,0.01083513,0.8276852,0.0002548239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01289362,0.0008838142,0.007819795,0.0003312692,0.0002068113,0.0005522475,0.961673,0.01277796,0.002861437],"genre_scores_gemma":[0.006113998,0.0002923635,0.0144301,0.0001630965,0.00003074022,0.001067769,0.9762705,0.0002653009,0.00136607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01961975,"threshold_uncertainty_score":0.06563467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09522785178641066,"score_gpt":0.3263294670800225,"score_spread":0.2311016152936119,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}